Course Description

This project-based Data Science Practicum provides students with the opportunity to gain real-world experience working with our industry partners. Each practicum cohort is sponsored by a company or organization. This collaboration allows students to work with partner companies/organizations to gain analytics experience and reconcile mathematical theory with business practice. Student groups — supervised by a UCLA Extension practicum instructor — work with the practicum company/organization to identify, define, scope, and analyze a business problem. Students will work in groups to solve real-world data analysis problems and communicate their results. Innovation and clarity of presentation will be key elements of evaluation.

It is assumed that students participating in this practicum have a thorough knowledge of basic machine learning concepts (classification, clustering, regression, dimensionality reduction, etc) and are proficient in R or Python. Students will be working on a real-world data science project from Day 1 of this Data Science Practicum. Very little time will be spent on lectures or introducing new machine learning concepts or explaining basic constructs of programming languages.

For the Spring 2018 cohort, students accepted into the practicum will be working on a real-world project to collect/scrape big data in real-time for all the regions in the U.S. and China. The data will be cleaned, standardized, and properly aggregated, measured, managed to become real-time indicators of various economic activities at the local and national levels. In countries like China, economic statistics are not available in real-time, available with a significant delay, or not trust-worthy. This project will focus on how to turn the collected big data into useful indicators to be comparable to the official economic statistics issued by government agencies, in retrospect. The indicators will be similar to GDP, payroll employment, housing prices, etc.

William Yu joined the UCLA Anderson Forecast in 2011 as an economist. At Forecast, he focuses on the economic modeling and forecasting of the Los Angeles economy. He also conducts research and forecast on China’s economy and its impacts on the US economy. Click here for more about William Yu.

For students without previous experience in data science, we recommend completing our Data Science specialization. The Data Science specialization can be completed in as little as 10 weeks in our 10-Week Data Science Camp. Click here for more information.

Notes

Contact:
dt@uclaextension.edu
310-825-4100

Prerequisites

For students without previous experience in data science, we recommend completing our Data Science specialization. The Data Science specialization can be completed in as little as 10 weeks in our 10-Week Intensive Data Science Camp. Click here for more information.

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COM SCI 800.003 - 361276 - Data Science Practicum

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UCLA Parking Spring 2018: Evening & Weekend - SR1080

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UCLA Parking Spring 2018: Evening & Weekend

Permits are valid after 4:30 pm Monday through Thursday, after 12 pm Friday, and all day Saturday and Sunday except for the structures and lots listed below:

Permits are valid in Structure SV and numbered lots and structures with the exception of 1, 5, 8, 13,17, 35, 37, 38, 39, Dickson Court (DC) and Luskin Conference Center (LCC). Structure 1 is reserved for visitors to the Ronald Reagan UCLA Medical Center. Structure 5 is reserved for special events at Royce Hall. Permits are valid in "Blue,""X," and unmarked spaces. They are not valid in spaces marked " Reserved at all Times " or in designated pay-per-space stalls. Permits expire at the end of the current quarter. If our course meets beyond the permit expiration date, you must pay $12 for each extra meeting. Permits and card keys may be purchased when you enroll online, by phone, or in person at the Extension Department of Student and Alumni Services. Subsequent to enrollment, permits are available for purchase by phone, in person, or by mail.

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